Senior Artificial Intelligence/Machine Learning Engineer

Ecosmob Technologies

35 years

0 Lacs

Greater Kolkata Area

Posted:2 days ago| Platform:

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Skills Required

learning leadership ai ml data collaborative code development python model engineering design collaboration preprocessing analysis evaluation database management sql nosql api flask debugging optimization agile scrum software retrieval training security compliance regulations tensorflow pytorch django numpy matplotlib nltk algorithms extraction concurrency multithreading programming postgresql mysql sqlite mariadb mongodb deployment containerization docker kubernetes aws azure gcp monitoring git bitbucket logical reasoning communication

Work Mode

On-site

Job Type

Full Time

Job Description

Key Responsibilities

Team Leadership : Lead, guide, and mentor a team of AI/ML engineers and data scientists, fostering a collaborative, innovative, and productive work environment.
Clean Code & Development : Write clean, maintainable, and error-free Python code for developing robust machine learning systems.
Model Engineering : Efficiently design, build, and deploy machine learning models and end-to-end solutions.
Cross-Functional Collaboration : Work closely with diverse technical teams to ensure timely and efficient delivery of AI/ML projects.
Data Science Lifecycle : Implement end-to-end data science processes, including data preprocessing, exploratory analysis, modeling, evaluation, and deployment.
Database Management : Work proficiently with SQL and NoSQL databases to manage and retrieve data effectively.
API Development : Develop and integrate RESTful APIs using Python web frameworks (e.g., Flask, Django).
Debugging & Optimization : Diagnose issues and optimize existing code for performance improvements.
Agile Methodologies : Follow Agile/Scrum software development lifecycle practices consistently.
LLM & RAG Implementation : Design, develop, fine-tune, and deploy AI models focusing on Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG).
Model Validation & Evaluation : Conduct training, validation, and evaluation experiments, refining models based on statistical analysis and performance metrics.
Security & Compliance : Ensure that AI/ML solutions adhere to security best practices and data privacy regulations (e.g., GDPR).

Technical Qualifications

Python Expertise : 35 years of hands-on experience with Python programming.
ML/DL Experience : 35 years of experience building, training, and deploying Machine Learning and Deep Learning models.
Deep Learning Frameworks : Proficiency with TensorFlow, PyTorch, and Keras.
Web Frameworks : Solid experience with Python web frameworks (Flask, Django) for API development.
Core Libraries : Strong expertise in NumPy, Pandas, Matplotlib, Scikit-learn, SpaCy, NLTK, and HuggingFace Transformers.
Algorithms & Techniques : Deep understanding of ML/DL algorithms, with advanced techniques in NLP and/or Computer Vision.
Production-Grade AI : Proven experience designing and deploying AI solutions leveraging LLMs and RAG.
NLP & Conversational AI : Hands-on expertise in text representation, semantic extraction, sentiment analysis, and conversational AI.
Concurrency : Practical knowledge of multithreading, concurrency, and asynchronous programming in Python.
Database Proficiency : Advanced skills in SQL (PostgreSQL, MySQL, SQLite, MariaDB) and NoSQL (MongoDB) databases.
Deployment & MLOps : Experience with containerization (Docker/Kubernetes), cloud platforms (AWS, Azure, GCP), and familiarity with MLOps principles for CI/CD, monitoring, and logging.
Version Control : Proficient understanding of Git and Bitbucket for software version control.
C++ : Experience with C++ development is a plus.

Soft Skills

Analytical Thinking : Strong analytical and structured problem-solving capabilities.
Proactive Problem-Solving : Logical reasoning and a hands-on approach to debugging and optimization.
Team Collaboration : Effective interpersonal skills to work seamlessly with cross-functional teams.
Clear Communication : Excellent ability to articulate technical concepts to diverse audiences.

F- Continuous Learning : Commitment to staying current on emerging trends in AI/ML, NLP, and Computer Vision.
(ref:hirist.tech)

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